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The ongoing AI revolution is reshaping the world, one algorithm at a time

AI News

In just a few years, the realm of AI has transcended its initial computational boundaries, emerging as one of the transformative forces of the 21st century, permeating virtually every major economic sector. The global AI market was valued at $638.23 trillion to the global economy by 2030.

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AI in 2025: Purpose-driven models, human integration, and more

AI News

As AI becomes increasingly embedded in our daily lives, industry leaders and experts are forecasting a transformative 2025. From groundbreaking developments to existential challenges, AIs evolution will continue to shape industries, change workflows, and spark deeper conversations about its implications.

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STAT+: Generative AI is transforming radiology, and it’s only the beginning

Flipboard

By 2030, agreed a roomful of radiologists in Chicago this week, generative AI will be ubiquitous in their written work.  But at the annual meeting of the Radiological Society of North America this week, the next generation of AI — large language models — was at the center of attention.

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The merging of AI and blockchain was inevitable – but what will it mean?

AI News

At first glance, AI and blockchain seem like completely disparate realms. On the other hand, AI thrives on massive datasets and demands high-performance computing. Morgan Stanley’s AI power consumption prediction (best-case scenario) The best of both worlds is here.

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Artificial Super Intelligence: Preparing for the Future of Human-Technology Collaboration

Unite.AI

Artificial Intelligence (AI) is advancing faster than ever, and now, the idea of Artificial Super Intelligence (ASI ) is moving from science fiction into a possible future. The fast progress in AI technologies like machine learning, neural networks , and Large Language Models (LLMs) is bringing us closer to ASI.

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DeepMind Introduces JEST Algorithm: Making AI Model Training Faster, Cheaper, Greener

Unite.AI

Generative AI is making incredible strides, transforming areas like medicine, education, finance, art, sports, etc. This progress mainly comes from AI's improved ability to learn from larger datasets and build more complex models with billions of parameters. Financial Costs: Training generative AI models is a costly endeavour.

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Synthetic Data: A Double-Edged Sword for the Future of AI

Unite.AI

The rapid growth of artificial intelligence (AI) has created an immense demand for data. Traditionally, organizations have relied on real-world datasuch as images, text, and audioto train AI models. However, as the availability of real-world data reaches its limits , synthetic data is emerging as a critical resource for AI development.